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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition - Significant Advances in Data Acquisition, Signal Processing and Classification (Hardcover, 2014 ed.)
Loot Price: R3,347
Discovery Miles 33 470
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition - Significant Advances in Data Acquisition, Signal Processing and Classification (Hardcover, 2014 ed.)
Series: Series in BioEngineering
Expected to ship within 12 - 17 working days
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This monograph reports on advances in the measurement and study of
autonomic nervous system (ANS) dynamics as a source of reliable and
effective markers for mood state recognition and assessment of
emotional responses. Its primary impact will be in affective
computing and the application of emotion-recognition systems.
Applicative studies of biosignals such as: electrocardiograms;
electrodermal responses; respiration activity; gaze points; and
pupil-size variation are covered in detail, and experimental
results explain how to characterize the elicited affective levels
and mood states pragmatically and accurately using the information
thus extracted from the ANS. Nonlinear signal processing techniques
play a crucial role in understanding the ANS physiology underlying
superficially noticeable changes and provide important quantifiers
of cardiovascular control dynamics. These have prognostic value in
both healthy subjects and patients with mood disorders. Moreover,
Autonomic Nervous System Dynamics for Mood and Emotional-State
Recognition proposes a novel probabilistic approach based on the
point-process theory in order to model and characterize the
instantaneous ANS nonlinear dynamics providing a foundation from
which machine "understanding" of emotional response can be
enhanced. Using mathematics and signal processing, this work also
contributes to pragmatic issues such as emotional and mood-state
modeling, elicitation, and non-invasive ANS monitoring. Throughout
the text a critical review on the current state-of-the-art is
reported, leading to the description of dedicated experimental
protocols, novel and reliable mood models, and novel wearable
systems able to perform ANS monitoring in a naturalistic
environment. Biomedical engineers will find this book of interest,
especially those concerned with nonlinear analysis, as will
researchers and industrial technicians developing wearable systems
and sensors for ANS monitoring.
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